An unbiased approach of molecular characterization of the endometrium: toward defining endometrial-based infertility

Bich Ngoc Bui*, Arif Ibrahim Ardisasmita, Ewart Kuijk, Signe Altmäe, Gaby Steba, Shari Mackens, Sabine Fuchs, Frank Broekmans, Edward Nieuwenhuis

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Infertility is a complex condition affecting millions of couples worldwide. The current definition of infertility, based on clinical criteria, fails to account for the molecular and cellular changes that may occur during the development of infertility. Recent advancements in sequencing technology and single-cell analysis offer new opportunities to gain a deeper understanding of these changes. The endometrium has a potential role in infertility and has been extensively studied to identify gene expression profiles associated with (impaired) endometrial receptivity. However, limited overlap among studies hampers the identification of relevant downstream pathways that could play a role in the development of endometrial-related infertility. To address these challenges, we propose sequencing the endometrial transcriptome of healthy and infertile women at the single-cell level to consistently identify molecular signatures. Establishing consensus on physiological patterns in endometrial samples can aid in identifying deviations in infertile patients. A similar strategy has been used with great success in cancer research. However, large collaborative initiatives, international uniform protocols of sample collection and processing are crucial to ensure reliability and reproducibility. Overall, the proposed approach holds promise for an objective and accurate classification of endometrial-based infertility and has the potential to improve diagnosis and treatment outcomes.

Original languageEnglish
Pages (from-to)275-281
Number of pages7
JournalHuman reproduction (Oxford, England)
Volume39
Issue number2
Early online date14 Dec 2023
DOIs
Publication statusPublished - 1 Feb 2024

Keywords

  • biological mechanism
  • endometrium
  • molecular phenotyping
  • single-cell analysis
  • unexplained infertility

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